Data Engineer, Product Analytics

Meta is hiring a Data Engineer, Product Analytics in Phoenix, Maricopa County (US) to design and build massive data pipelines that power Facebook, Instagram, Messenger, WhatsApp, Reality Labs and Threads.

Key Responsibilities

• Design, develop, and maintain scalable data ingestion and transformation pipelines for product analytics.
• Collaborate with product managers, data scientists, and engineers to define data requirements and deliver actionable insights.
• Optimize data storage solutions on Hadoop, Spark, and cloud platforms to support billions of daily events.
• Implement data quality, monitoring, and alerting frameworks to ensure reliable analytics.
• Contribute to best‑practice documentation, code reviews, and knowledge sharing across the analytics engineering community.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related field, or equivalent practical experience.
• 3+ years of professional experience building data pipelines using SQL, Python, Java/Scala, and big‑data technologies (Spark, Flink, Hadoop, Kafka).
• Strong understanding of data modeling, ETL design, and distributed systems.
• Experience with cloud data services (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.

Preferred Skills

• Experience with product analytics tools (e.g., Looker, Tableau, Metabase).
• Familiarity with machine‑learning feature pipelines.
• Knowledge of privacy and security best practices for handling user data.

Compensation & Benefits

Salary range: $100,571.03 per year. Meta offers comprehensive health, vision, dental plans, generous paid time off, parental leave, tuition assistance, and a vibrant office environment in Phoenix.

Frequently Asked Questions

What does a Data Engineer, Product Analytics do at Meta?

You design, build, and maintain large‑scale data pipelines that feed product analytics, enabling teams to make data‑driven decisions for Meta’s family of apps.

What technical skills are required for this role?

Proficiency in SQL, Python or Scala, big‑data tools like Spark and Kafka, cloud platforms (AWS/GCP/Azure), and experience with data modeling and ETL processes.

Is this position based in Phoenix, Arizona?

Yes, the role is located in Phoenix, Maricopa County, US, with access to Meta’s on‑site amenities and hybrid work options.